Nicole Tuitt, DrPH, MPH is one of the specialists in the Native American Technical Assistance Program for the California Reducing Disparities Program. Recently, she was a postdoctoral fellow in the Prevention Science Research Training Program at the Prevention Research Center at the University of California Berkeley School of Public Health. In this role, her research activities involved developing and applying Bayesian statistical models to the elucidation of context specific correlates of alcohol use disorders. She also formulates and tests Bayesian spatial space-time models for assessment of American Indian (AI) drinking problems and practices.
She received her DrPH from the Colorado School of Public Health at the University of Colorado Anschutz Medical Campus (where she is now based) in Community and Behavioral Health with a minor in Epidemiology. Dr. Tuitt is particularly interested in community informed quantitative data analysis as well as culturally adapted and trauma informed substance use and sexual risk reduction interventions for AI and Black youth in early adolescence.
She was the Assistant Director of Project TEACH (Teaching Equity to Achieve Community Health)—a technical assistance program that supported community-based health organizations serving vulnerable populations in Colorado with modifying and adapting evidence-based interventions, program planning and evaluation, community engagement, and succession planning. She has experience implementing and evaluating community-based substance use and sexual risk preventions programs among AI young adolescents in the Northern Plains as a Senior Professional Research Assistant at the Centers for American Indian and Alaska Native Health at the University of Colorado-Anschutz Medical Campus.
Her doctoral research investigated the influence of trauma, parent-child relationships, peer group affiliation, and alcohol and marijuana use on precursors to sexual risk-taking among AI youth using Bayesian latent variable methodologies. While these analyses were quantitative in nature, she engaged community throughout all aspects, including defining the statistical model to be assessed, interpreting findings, and dissemination.
Her publications are listed on our publications page.